| Title | Identification of multimorbidity patterns in older adults receiving long-term care in Canada, Italy, Finland and New Zealand: Results from the ICARE4OLD project |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Damiano C., Onder G., Luo H., Chai Y., Dai L., Calderon-Larranaga A., Turcotte L., Hasa J., Hirdes J., Makela M., van Hout H., Vetrano D. |
| Conference Name | European Geriatric Medicine |
| Issue | Supplement 1 |
| Keywords | *canada, *Finland, *Italy, *long term care, *multiple chronic conditions, *New Zealand, Aged, Alzheimer disease, cerebrovascular accident, Chronic Disease, conference abstract, controlled study, cor pulmonale, dementia, Demography, Female, Geriatric Assessment, Health Status, hemiplegia, home care, Human, human tissue, latent class analysis, major clinical study, Male, mental disease, Morbidity, very elderly |
| Abstract | Introduction: Older adults receiving home care (HC) services and living in long-term care homes (LTC) experience high levels of multimorbidity. We aimed to identify and compare subgroups of care dependent individuals sharing the same patterns of chronic diseases. Method(s): We studied 102,000 individuals 60 + years receiving HC services or living in LTC homes in Canada, Italy, Finland and New Zealand who had their first assessment between 2014 and 2018 through the comprehensive geriatric assessments tools interRAI HC and LTCF. Latent Class Analysis (LCA) was used to classify individuals according to their underlying diseases patterns starting from a list of 19 conditions. Result(s): Mean age of the sample was 80 years (65% females). After assessing several fit parameters, a 5-class solution was chosen as the best model for both HC and LTC. The following 5 disease patterns were identified in all countries: 1Alzheimer/dementia; 2psychiatric diseases; 3cardio-pulmonary diseases; 4stroke/hemiplegia; 5other dementias. The distribution of sociodemographic, clinical and functional characteristics varied across the different multimorbidity patterns, with the cardio-pulmonary disease and the stroke/hemiplegia patterns showing the highest complexity and impairment. Key conclusions: Our results show that, by using a common assessment tool, it is possible to identify homogeneous morbidity patterns in older patients receiving long-term care. These may be useful to compare health status in care-dependent individuals across different settings and countries, as well as to predict health trajectories and care needs. |
| DOI | 10.1007/s41999-022-00711-8 |
| Reseach Notes | AM |
